评估Friedewald,Martin/Hopkins或NIH计算的LDL-C估计中的实际差异:方程2:一个观测横截面研究
Inga Wang1, Mohammad H Rahman2, Stephen Hou3
1Department of Rehabilitation Sciences & Technology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Journal of lipid and atherosclerosis
|October 6, 2023
概括
弗里德沃尔德,马丁/霍普金斯和NIH方程2提供了类似的低密度脂蛋白胆固醇 (LDL-C) 估计,在分类个体方面达成了高度一致. 这些发现有助于预防心血管疾病的临床决策.
科学领域:
- 心脏病学 心脏病学
- 生物化学 生物化学
- 公共卫生 公共卫生
背景情况:
- 低密度脂蛋白胆固醇 (LDL-C) 是预防动脉样硬化心血管疾病的关键目标.
- 准确的LDL-C估计对于有效的初级预防策略至关重要.
研究的目的:
- 为了比较三种常用的LDL-C估计方程之间的实际差异:弗里德瓦尔德,马丁/霍普金斯和NIH方程2.
- 在这些不同的计算方法中评估LDL-C分类的一致性.
主要方法:
- 来自4,556名美国成年人的血脂测量的分析 (2017-2020年NHANES数据).
- 评估三个LDL-C方程之间的差异,相关性 (皮尔森的r,斯皮尔曼的rho) 和一致性 (加权卡帕,百分比一致性).
- 根据性别和甘油三水平对分析的分层.
主要成果:
- 这三个方程都显示了高的相关性 (r > 0.99) 和实质性的一致性 (Kappa > 0.92,一致性 > 93%) 在分类个体的LDL-C类别.
- 平均绝对差异很小:3.17 mg/dL (弗里德沃尔德与马丁/霍普金斯) 和2.08 mg/dL (弗里德沃尔德与NIH方程2).
- 根据性别和甘油三水平 (p<0.001) 的差异有显著差异.
结论:
- 弗里德沃尔德,马丁/霍普金斯和NIH方程2方程在LDL-C估计和分类方面显示出高度一致性.
- 这些发现支持这些方程在许多临床场景中可互换,用于评估心血管疾病风险.
- 在不断变化的临床指导方针和脂质管理范式中,了解这些微妙的差异很重要.
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